Data and Analytics Associate

Job Title: Data and Analytics Associate Work Location: On-site at the North Carolina office. Job Description: • We’re seeking a Master Data & Analytics Lead to design and operationalize a unified data framework that integrates financial, operational, and technical data across multiple systems. This role sits within the Global Value Management (GVM) team—an organization focused on developing proactive, data-driven proposals and value propositions that help customers understand the business impact of our solutions. • You’ll build the analytical foundation that powers GVM engagements, linking data insights to customer performance, opportunity sizing, and value realization. The ideal candidate combines strong data architecture and quantitative • What you’ll do: Data Model and Architecture: • Define a master data model spanning financial, operational, and technical dimensions, including relationships and dependencies. • Collaborate with Sales Operations to determine the right platform and integration architecture. • Source and align data from multiple systems—Customer, Competitor, GVM Engagements, HGInsights, Marketing Ops (6Sense, Leadspace, Gartner, IDC), AlphaSense, and Snowflake. • Develop a data confidence scoring model (validated, inferred, assumed) and processes for maintenance, expiry, and refresh. Analytics and Insight Generation: • Build relational data sets linking metrics such as $/TB and FTE/TB. • Produce benchmarks, quartiles, and regression analyses to uncover performance drivers across cost, efficiency, and technical spread. • Design outputs that highlight “best-in-class” performance by vertical or environment (Cloud vs On-Prem). • Create searchable internal indices for GVM use cases (e.g., where similar takeouts or use cases exist). • Deliver insight models that validate assumptions, expose trends, and inform customer recommendations. • Customer and Opportunity Modeling: • Correlate customer data against the master model to assess confidence and identify gaps. • Use analytics to infer likely ranges for missing data and map customers to best-in-class benchmarks. • Load validated data into business case models to inform account planning and opportunity prioritization. What Success Looks Like: • A reliable, scalable master data framework that informs GVM and customer strategy and serves as a single source of truth. • Automated confidence scoring and refresh processes. • Analytical insights that guide opportunity sizing and customer value realization. • Benchmarking frameworks that inform strategic decisions and account planning. • A foundation for evidence-based, data-driven customer proposals. Education: Bachelor’s or master’s degree in Data Science, Statistics, Computer Science, Engineering, Economics or a related quantitative field. Experience: • 3+ years’ experience in data analytics, data modeling or quantitative analysis, ideally in a B2B or enterprise technology environment. • Proficiency in SQL, Python/R, and BI tools (Tableau, Power BI, or similar). • Experience designing data models and pipelines across multi-source systems (CRM, Marketing Ops, Financial Systems). • Strong understanding of data governance, normalization, and confidence scoring techniques. • Proven ability to synthesize large, complex datasets into actionable insights. • Excellent collaboration skills with cross-functional teams including Sales, Finance, and Operations. • Preferred Experience: • Background in enterprise data architecture or quantitative strategy consulting. • Familiarity with Snowflake, Salesforce, and marketing intelligence or industry insights platforms (6Sense, Leadspace, HGInsights, etc). • Experience with regression modeling, clustering, and multivariate analytics. • Understanding of financial modeling, cost analysis, and performance benchmarking.